Codebook

Load data

## Error in attr(x, "label") <- value: attempt to set an attribute on NULL

Codebook

Metadata

Description

Dataset name: vcs

The dataset has N=2241 rows and 21 columns. 969 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-07-31

x voice_id dataset sex age f0 f1 f2 f3 f4 pf neuro extra openn agree consc dominance behavior attitude desire soir_full sex_c

#Variables

voice_id

Distribution

Distribution of values for voice_id

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
voice_id	numeric	0	1	1	1121	2241	1121	647.0653	▇▇▇▇▇	NA

dataset

Distribution

Distribution of values for dataset

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
dataset	numeric	0	1	1	4	11	4.531905	2.864653	▇▃▃▂▁	NA

sex

Sex

Distribution

Distribution of values for sex

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex	Sex	haven_labelled	0	1	-1	-1	1	-0.1726908	0.9851959	2	▇▁▁▁▁▁▁▆

Value labels

Response choices

name	value
male	1
female	-1

age

Age

Distribution

Distribution of values for age

137 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
age	Age	numeric	137	0.9388666	18	23	56	24.452	6.138718	▇▂▁▁▁

f0

Voice pitch

Distribution

Distribution of values for f0

7 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
f0	Voice pitch	numeric	7	0.9968764	83	192	303	172.3193	50.4619	▇▂▇▆▁

f1

Distribution

Distribution of values for f1

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f1	numeric	4	0.9982151	285	454	948	456.5631	72.87459	▅▇▁▁▁	NA

f2

Distribution

Distribution of values for f2

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f2	numeric	4	0.9982151	1133	1632	2480	1628.475	163.5203	▁▇▆▁▁	NA

f3

Distribution

Distribution of values for f3

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f3	numeric	4	0.9982151	2208	2755	3460	2728.432	225.8818	▃▆▇▃▁	NA

f4

Distribution

Distribution of values for f4

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f4	numeric	4	0.9982151	2948	3866	4632	3804.922	307.9621	▁▇▅▇▁	NA

pf

Formants

Distribution

Distribution of values for pf

4 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
pf	Formants	character	4	0.9982151	2237	0	14	20	0

neuro

Neuroticism

Distribution

Distribution of values for neuro

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
neuro	Neuroticism	numeric	802	0.6421241	-2	-0.25	1.8	-0.1926887	0.7568001	▂▆▇▅▁

extra

Extraversion

Distribution

Distribution of values for extra

803 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
extra	Extraversion	numeric	803	0.6416778	-1.8	0.5	2	0.4749194	0.7017921	▁▃▇▇▃

openn

Openness

Distribution

Distribution of values for openn

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
openn	Openness	numeric	802	0.6421241	-1.6	0.8	2	0.7571315	0.5942298	▁▁▅▇▃

agree

Agreeableness

Distribution

Distribution of values for agree

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
agree	Agreeableness	numeric	802	0.6421241	-2	0.62	1.9	0.5825122	0.6151866	▁▁▅▇▃

consc

Conscientiousness

Distribution

Distribution of values for consc

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
consc	Conscientiousness	numeric	802	0.6421241	-2	0.56	2	0.4977361	0.6899824	▁▂▇▇▃

dominance

Dominance

Distribution

Distribution of values for dominance

1256 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
dominance	Dominance	numeric	1256	0.4395359	-1.9	0.4	2	0.3785218	0.5866429	▁▂▇▇▂

behavior

Distribution

Distribution of values for behavior

242 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
behavior	numeric	242	0.8920125	-2	-1	2	-0.8581624	1.004092	▇▃▃▂▁	NA

attitude

Distribution

Distribution of values for attitude

239 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
attitude	numeric	239	0.8933512	-2	0.5	2	0.3451765	1.157244	▃▃▆▇▇	NA

desire

Distribution

Distribution of values for desire

238 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
desire	numeric	238	0.8937974	-2	-0.17	2	-0.1707589	0.9916613	▅▆▇▅▂	NA

soir_full

Distribution

Distribution of values for soir_full

243 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
soir_full	numeric	243	0.8915663	-2	-0.22	2	-0.2280953	0.8156033	▃▆▇▅▁	NA

sex_c

Distribution

Distribution of values for sex_c

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
sex_c	numeric	0	1	-1	-1	1	-0.1726908	0.9851959	▇▁▁▁▆	NA

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "vcs",
  "datePublished": "2020-07-31",
  "description": "The dataset has N=2241 rows and 21 columns.\n969 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name      |label             | n_missing|\n|:---------|:-----------------|---------:|\n|voice_id  |NA                |         0|\n|dataset   |NA                |         0|\n|sex       |Sex               |         0|\n|age       |Age               |       137|\n|f0        |Voice pitch       |         7|\n|f1        |NA                |         4|\n|f2        |NA                |         4|\n|f3        |NA                |         4|\n|f4        |NA                |         4|\n|pf        |Formants          |         4|\n|neuro     |Neuroticism       |       802|\n|extra     |Extraversion      |       803|\n|openn     |Openness          |       802|\n|agree     |Agreeableness     |       802|\n|consc     |Conscientiousness |       802|\n|dominance |Dominance         |      1256|\n|behavior  |NA                |       242|\n|attitude  |NA                |       239|\n|desire    |NA                |       238|\n|soir_full |NA                |       243|\n|sex_c     |NA                |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["voice_id", "dataset", "sex", "age", "f0", "f1", "f2", "f3", "f4", "pf", "neuro", "extra", "openn", "agree", "consc", "dominance", "behavior", "attitude", "desire", "soir_full", "sex_c"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "voice_id",
      "@type": "propertyValue"
    },
    {
      "name": "dataset",
      "@type": "propertyValue"
    },
    {
      "name": "sex",
      "description": "Sex",
      "value": "1. male,\n-1. female",
      "maxValue": 1,
      "minValue": -1,
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "Age",
      "@type": "propertyValue"
    },
    {
      "name": "f0",
      "description": "Voice pitch",
      "@type": "propertyValue"
    },
    {
      "name": "f1",
      "@type": "propertyValue"
    },
    {
      "name": "f2",
      "@type": "propertyValue"
    },
    {
      "name": "f3",
      "@type": "propertyValue"
    },
    {
      "name": "f4",
      "@type": "propertyValue"
    },
    {
      "name": "pf",
      "description": "Formants",
      "@type": "propertyValue"
    },
    {
      "name": "neuro",
      "description": "Neuroticism",
      "@type": "propertyValue"
    },
    {
      "name": "extra",
      "description": "Extraversion",
      "@type": "propertyValue"
    },
    {
      "name": "openn",
      "description": "Openness",
      "@type": "propertyValue"
    },
    {
      "name": "agree",
      "description": "Agreeableness",
      "@type": "propertyValue"
    },
    {
      "name": "consc",
      "description": "Conscientiousness",
      "@type": "propertyValue"
    },
    {
      "name": "dominance",
      "description": "Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "behavior",
      "@type": "propertyValue"
    },
    {
      "name": "attitude",
      "@type": "propertyValue"
    },
    {
      "name": "desire",
      "@type": "propertyValue"
    },
    {
      "name": "soir_full",
      "@type": "propertyValue"
    },
    {
      "name": "sex_c",
      "@type": "propertyValue"
    }
  ]
}`

Gender differences

## Error: Problem with `mutate()` input `isanoutlier`.
## x non-numeric argument to binary operator
## ℹ Input `isanoutlier` is `ifelse(...)`.
## ℹ The error occured in group 1: sex = "female".

## Error: Can't subset columns that don't exist.
## x Column `soi_full` doesn't exist.

## Error: StatBin requires a continuous x variable: the x variable is discrete.Perhaps you want stat="count"?

Distributions by dataset

## Error: StatBin requires a continuous x variable: the x variable is discrete.Perhaps you want stat="count"?

## Error: StatBin requires a continuous x variable: the x variable is discrete.Perhaps you want stat="count"?

## Error: StatBin requires a continuous x variable: the x variable is discrete.Perhaps you want stat="count"?